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      Depressive symptoms among Thai male seafarers during the COVID-19 pandemic: a cross-sectional study

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          Abstract

          Background

          Prevalence of depressive symptoms among seafarers is higher than the general population because of their unique work conditions. Factors that can be changed must be considered and promptly addressed in order to decrease the prevalence of depression. This study aims to clarify the prevalence of depressive symptoms and its related factors among Thai seafarers in an effort to contribute to policies and to prevent depression among Thai seafarers.

          Methods

          This cross-sectional study was conducted among 381 male seafarers working onboard ocean-going vessels of five Thai shipping companies. The questionnaire items comprised of personal factors, working factors and depressive symptoms. Depressive symptoms were assessed using the Thai version of the Patient Health Questionnaire-9. First, the chi-square test was used for univariate analysis. Then, variables significantly associated by the chi-square test were used for multivariate logistic regression analysis (employing the stepwise method) as independent variables.

          Results

          The average age of participants in this study was 36.4 years. Prevalence of depressive symptoms was 19.5%. One half of the participants (58.3%) reported subjective sleep problems, and most (75.1%) experienced poor coping behaviors. Two thirds (67.5%) were officers, and 10.1% of participants reported that they sometimes or never performed occupational safety behaviors. Regarding work environments, 62.2% reported that their work was disturbed from performing repetitive tasks. Multivariate logistic regression analysis showed two personal factors; sleep problems (Adjusted Odds Ratio (AOR) = 7.97, 95% Confidence interval (CI) = 3.52–18.05) and poor coping behaviors (AOR = 4.46, 95%CI = 1.61–12.34), and three working factors; job assignment (AOR = 2.50, 95%CI = 1.33–4.70), inadequate occupational safety behaviors (AOR = 4.51, 95%CI = 1.85–11.01) and performing repetitive task (AOR = 2.27, 95%CI = 1.16–4.45), were significantly associated with depression.

          Conclusion

          During COVID-19 pandemic, 19.5% of Thai male seafarers had depressive symptoms. Personal and working factors including subjective sleep problems, poor coping behaviors, job assignment, performing inadequate occupational safety behaviors and performing repetitive tasks were risk factors of depressive symptoms among Thai male seafarers. Monitoring work environment rigorously and coping with work-related stress of the occupational safety behaviors program should be suggested.

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          Most cited references26

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          Survey response rate levels and trends in organizational research

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            The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics.

            Part I discusses the Job Content Questionnaire (JCQ), designed to measure scales assessing psychological demands, decision latitude, social support, physical demands, and job insecurity. Part II describes the reliability of the JCQ scales in a cross-national context using 10,288 men and 6,313 women from 6 studies conducted in 4 countries. Substantial similarity in means, standard deviations, and correlations among the scales, and in correlations between scales and demographic variables, is found for both men and women in all studies. Reliability is good for most scales. Results suggest that psychological job characteristics are more similar across national boundaries than across occupations.
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              Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis

              Background The emerging novel coronavirus disease 2019 (COVID-19) has become one of the leading cause of deaths worldwide in 2020. The present systematic review and meta-analysis estimated the magnitude of sleep problems during the COVID-19 pandemic and its relationship with psychological distress. Methods Five academic databases ( Scopus, PubMed Central, ProQuest, ISI Web of Knowledge, and Embase ) were searched. Observational studies including case-control studies and cross-sectional studies were included if relevant data relationships were reported (i.e., sleep assessed utilizing the Pittsburgh Sleep Quality Index or Insomnia Severity Index). All the studies were English, peer-reviewed papers published between December 2019 and February 2021. PROSPERO registration number: CRD42020181644. Findings 168 cross-sectional, four case-control, and five longitudinal design papers comprising 345,270 participants from 39 countries were identified. The corrected pooled estimated prevalence of sleep problems were 31% among healthcare professionals, 18% among the general population, and 57% among COVID-19 patients (all p -values < 0.05). Sleep problems were associated with depression among healthcare professionals, the general population, and COVID-19 patients, with Fisher's Z scores of -0.28, -0.30, and -0.36, respectively. Sleep problems were positively (and moderately) associated with anxiety among healthcare professionals, the general population, and COVID-19 patients, with Fisher's z scores of 0.55, 0.48, and 0.49, respectively. Interpretation Sleep problems appear to have been common during the ongoing COVID-19 pandemic. Moreover, sleep problems were found to be associated with higher levels of psychological distress. With the use of effective programs treating sleep problems, psychological distress may be reduced. Vice versa, the use of effective programs treating psychological distress, sleep problems may be reduced. Funding The present study received no funding.
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                Author and article information

                Contributors
                woraluk.jog@student.mahidol.ac.th
                orawan.kae@mahidol.ac.th
                moriokai@wakayama-med.ac.jp
                plernpit.suw@mahidol.ac.th
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                13 March 2023
                13 March 2023
                2023
                : 23
                : 475
                Affiliations
                [1 ]GRID grid.10223.32, ISNI 0000 0004 1937 0490, Department of Public Health Nursing, Faculty of Public Health, , Mahidol University, ; 420/1 Ratchawithi Road., Ratchathewi, 10400 Bangkok, Thailand
                [2 ]GRID grid.412857.d, ISNI 0000 0004 1763 1087, Graduate School of Health and Nursing Science, , Wakayama Medical University, ; Mikazura 580, 641-0011 Wakayama, Japan
                Article
                15305
                10.1186/s12889-023-15305-7
                10009827
                36915119
                aba37271-7e3b-4ab8-a85d-fd650ef75e2f
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 7 July 2022
                : 21 February 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004704, National Research Council of Thailand;
                Award ID: PHD/0186/2560
                Award ID: PHD/0186/2560
                Funded by: FundRef http://dx.doi.org/10.13039/501100017170, Thailand Science Research and Innovation;
                Award ID: PHD/0186/2560
                Award ID: PHD/0186/2560
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Public health
                depression,factors,seafarer,thai,maritime
                Public health
                depression, factors, seafarer, thai, maritime

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